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Subcategories: Alzheimer's Disease Medicare

Showing 4348-4368 of 8,142 articles

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer-related mortality wor...

Feb 2025 http://arxiv.org/abs/2502.03772v2

An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology

Computational models of atrial electrophysiology (EP) are increasingly utilized for applications s...

Feb 2025 http://arxiv.org/abs/2502.03322v1

Efficient extraction of medication information from clinical notes: an evaluation in two languages

Objective: To evaluate the accuracy, computational cost and portability of a new Natural Language ...

Feb 2025 http://arxiv.org/abs/2502.03257v1

Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration

Recently computer-aided diagnosis has demonstrated promising performance, effectively alleviating ...

Feb 2025 http://arxiv.org/abs/2502.03238v2

Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

Alzheimer's disease is an irreversible central neurodegenerative disease, and early diagnosis of Alz...

Feb 2025 39756421

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis

Functional MRI (fMRI) and single-cell transcriptomics are pivotal in Alzheimer's disease (AD) rese...

Feb 2025 http://arxiv.org/abs/2502.02630v1

Deep Learning-Based Facial Expression Recognition for the Elderly: A Systematic Review

The rapid aging of the global population has highlighted the need for technologies to support elde...

Feb 2025 http://arxiv.org/abs/2502.02618v1

Building a Cognitive Twin Using a Distributed Cognitive System and an Evolution Strategy

This work presents a technique to build interaction-based Cognitive Twins (a computational version...

Feb 2025 http://arxiv.org/abs/2502.01834v1

VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis

Objective: Assessing Alzheimer's disease (AD) using high-dimensional radiology images is clinicall...

Feb 2025 http://arxiv.org/abs/2502.01535v1

End-to-end Training for Text-to-Image Synthesis using Dual-Text Embeddings

Text-to-Image (T2I) synthesis is a challenging task that requires modeling complex interactions be...

Feb 2025 http://arxiv.org/abs/2502.01507v1

Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning

Few-shot learning (FSL) has recently been extensively utilized to overcome the scarcity of trainin...

Feb 2025 http://arxiv.org/abs/2502.01183v1

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models

End-to-end human animation, such as audio-driven talking human generation, has undergone notable a...

Feb 2025 http://arxiv.org/abs/2502.01061v2

Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions

Visual speech recognition remains an open research problem where different challenges must be cons...

Feb 2025 http://arxiv.org/abs/2502.00464v2

When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation

Though end-to-end speech-to-text translation has been a great success, we argue that the cascaded ...

Feb 2025 http://arxiv.org/abs/2502.00377v1

Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.

STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particul...

Feb 2025 39484800

Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications.

BACKGROUND: Mild cognitive impairment and early-stage dementia significantly impact healthcare utili...

Feb 2025 39667364

Predicting In-Hospital Fall Risk Using Machine Learning With Real-Time Location System and Electronic Medical Records.

BACKGROUND: Hospital falls are the most prevalent and fatal event in healthcare, posing significant ...

Feb 2025 39994910

[Establishing of mortality predictive model for elderly critically ill patients using simple bedside indicators and interpretable machine learning algorithms].

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predicti...

Feb 2025 40017366

Browse Categories

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma

An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology

Efficient extraction of medication information from clinical notes: an evaluation in two languages

Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration

Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis

Deep Learning-Based Facial Expression Recognition for the Elderly: A Systematic Review

Building a Cognitive Twin Using a Distributed Cognitive System and an Evolution Strategy

VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis

End-to-end Training for Text-to-Image Synthesis using Dual-Text Embeddings

Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models

Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions

When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation

Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.

Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications.

Predicting In-Hospital Fall Risk Using Machine Learning With Real-Time Location System and Electronic Medical Records.

[Establishing of mortality predictive model for elderly critically ill patients using simple bedside indicators and interpretable machine learning algorithms].

Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment

DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

[Intelligent Monitoring System Based on Computer Vision and Artificial Intelligence].

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